W eather Information Our service Challenges for HALEX Three examples of practical use 1 2 3 General information Dedicated information Telegraphs and telephone ID: 288053
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Slide1
The forerunner in open data
“
Weather Information”
Our service -- Challenges for HALEX--
Three examples of practical use
1
2
3Slide2
General information
Dedicated information
＞＞＞
＞＞＞＞
＞＞
Telegraphs and telephone
＞＞
Meteorological Agency
の天気
forecasts
1940
1960
1980
2000
2010
Changes in ICT
Same everywhere
＞＞＞
Delivery of i
nformation
Closed
Observation/weather chart
C
onfidential information
Users
Individual needs
Radio
TV
ＰＣ
/cell phone
・
M
obile terminal
HALEX’s proprietary weather system
＞＞＞＞＞＞＞＞
Weather information is required to match changes in ICT and social needs
Governments and organizations
Individuals
Personal use skyrocketing!
In 1993, the
weather business was first opened to the private sectorSlide3
Meteorological Agency
I
nformation Promotion Office!
a
s many industries as possible to use its information!
Meteorological Agency wants
Section in chargeSlide4
The forerunner in open data
Do
open data
ever have a future when we are unable to do business based on weather information?
We aggressively engage in daily activities with “guts and pride”!Slide5
Top forerunner in open data
“Weather Information”
Our service
--
C
hallenges for HALEX--
Three examples of practical use
1
3
１
２Slide6
Open
Data
Carry out business by taking advantage of open data
This means
Aggressively
Compete against Free Services!
￥Slide7
付
加
価
値
No clients will be interested in us if we do not offer added values!
What
added values
can we offer?
Then…
Added ValuesSlide8
Previously
Private
weather company
Information
Fine processing
Secondary processing
C
lients
Information
‘
TV
Radio
HP
Distributed without charge
Meteorological Agency
Primary processing
Ready-made information
Only “free” information is provided
“General forecasts” released to mass media
by Meteorological Agency
1
N
B
to
C
to
Base
w
eather dataSlide9
Originally
Provides solutions
Only a
private weather information company can do this!
“Forecasts for you
”
1
1
B
to
B/B
to
Gto
Meteorological Agency
Base weather data
HALEX
P
rimary processing
S
Raw materials
C
lients
Processing on demand
S
ystem company
Cooperation
IssuesSlide10
By introducing
weather information
into the business of clients, we deliver “Effects”!
These are
t
he added values we can offerSlide11
Our service
Effects
Business of clients
Performance
Function
×
Weather information
＝
Efficacy
Business know-how
Analytics
(Power to make assumptions
)
To meet different customer needs, how should we loot at open data?
B
ig
D
ata
Protect
firmly
Save more
Earn moreSlide12
The forerunner
in open data “
weather information
”
Our service
--Challenge for HALEX--
Three examples of practical use
1
１
２
２
３Slide13
1. Business with
Keikyu
CorporationSlide14
Fully use precipitation data
to prevent missing information!
Protect firmly!Slide15
Rain clouds are shown in tiles
1km
×1km
ClickSlide16
“Rainfall intensity change” for up to 1 hour
Accumulated amount of rainfall
for the past 24 hours + the future 6 hours
You can see by mesh hole how the rain may fallSlide17
When you detect an excessive amount of rainfall on any line
At these stationsSlide18
路線図上
危険箇所に
アラームが現れ
雨量自動監視と危険の見える化
京急久里浜
YRP
野比
京急長沢
北久里浜
新大津
Visualize the
automatic monitoring
of
rainfalls for the amount Slide19
2. Business with an agri
cultural corporationSlide20
From now on,
weather information is
”the strongest weapon” for agriculture
Protect firmly!
Save more!
Earn more!Slide21
Pay atten
tion!
Soil
地形･地理
weather
Biological
environment
（
pests, weeds, etc.
）
Natural environments surrounding agriculture
Weather
Topology/
geography Slide22
Adjustment of planting/shipping time
Fertility management
Protection against abnormal weather
Regional differentiation
Selection of varieties of plants
Growth diagnosis
Growth prediction
Protection against dise
ases and pests
In agriculture, what is affected by weather?
Strategy
Tactics Slide23
Planning of an agricultural management strategy
Strategy
Utilization of weather information
Tactics
Long- and mid-term forecasts （1 month, 3 months, warm/cold seasons
）
Past weather observation data
Regional characteristics Understanding the
trends
Quanti
tative management of agriculture
Daily management
(Q
uantitative management)
Instantaneous forecasts
（
6 hours, 1 hour
）
Short-term forecasts
（
weekly, 72 hours, 24 hours)
Recorded data
(e.g., temperature change, accumulated temperature, sunlight hours)
Monitoring
the conditionsSlide24
Earn more!
A
dded values we must create
可能性のコンサルティングweather 予測→気候予測
想定リスクの提示代替手段の推奨
Protect firmly!
Save more!
Strategy
Tactics
Consulting on possibilities
Weather prediction
→
climate prediction
Presenting potential risks
Recommending alternative measuresSlide25
Currently under demonstration testing in Ehime Prefecture
We have information long required by farms
The future of agriculture is changing
Ehime Prefecture deliversThe world’s first “Weather Forecasting System for Agriculture”Slide26
3.
B
usiness with a leading advertising agentSlide27
Use of seasonal forecasts
Launching
advertisements in a timely manner!
Earn
More!Slide28
An example of a leading maker of men’s clothingSlide29
平気気温
25
度以上
The highest temperature exceeding 30°C
Timing mismatch in advertisement!
Launching TV commercials as usual for fall/winter campaigns
Best timing
for
TV commercials
T
emperature changes from end of September to October, last yearSlide30
A decision on launch of commercials made
３
weeks before
Little known
Monthly Forecasts usedSlide31
“Monthly forecasts” posted on the Meteorological Agency homepage
Unusable!Slide32
Our services are based on our
“
ability to analyze and understand data”
Meteorological Agency’s “forecasting trend” analyzed and explained with the skill of
a weather forecaster
Verification materials
Sales personnel are also weather
foprecastersSlide33
FinallySlide34
Techniques for using information
＝
IntelligenceIT
＝Information
Technology
IntelligenceTechnology
Amalgamate intoSlide35
clients
の目的･要望に応じて
データを読み解けるかが最大の鍵！
The greatest key is whether data can be analyzed to meet the purpose and needs of individual clients
Open data are useless when they are simply looked atSlide36
Thank You